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Autofocus with two-dimensional visual measurement system

Author: ChenGong
Tutor: LiuShouBin
School: Harbin Institute of Technology
Course: Mechanical and Electronic Engineering
Keywords: Image Measurement Autofocus Edge Detection
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 118
Quote: 0
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Abstract


In recent years, the rapid development of manufacturing industries , led vision measurement technology development , and its related products to non-contact, easy operation , etc. are widely used. Domestic companies will vision measurement system development as a hot spot , and the autofocus system embedded in products in order to achieve its automation . In this paper, Harbin Institute of Technology Shenzhen Graduate School of mechatronics research laboratory chosen based on machine vision measurement system and its focus system for research and development, and use of the system for measuring the size of tiny parts . Autofocus system work through industrial cameras capture images, and the obtained information is transmitted to the pixel gray PC. PC then use edge detection function to calculate the sharpness of the image , and the results as the focus criterion . Mount the camera on the Z-axis platform, motion controller performs one-dimensional peak search algorithm, so that within the range of the camera focusing search focus position. Image measurement , the first system to capture a clear image of the median filter smoothing, and then carried out on the specified edge feature extraction and fitting . Edge extraction point when the first based on the feature type to select a rectangular or circular window , and then in the window along one dimension to extract those with the largest point of the first order derivative values ​​as edge points . Fitting the edge feature, the least square method to add the weighting factors , and the number of iterations through the interference fit of the smaller features. Some features of larger workpieces can not get it through a complete image photographed using a row or column grayscale matching method , the dispersion characteristics of image stitching up measurements. Finally superimposed two gauge blocks using the system calibration, then the image measurement tool microscope measurement results with the results for comparison.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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